freya-tts-f8a639bb·1 events·first seen Aliases: Freya-TTS
Freya-TTS is a 183.2M-parameter non-autoregressive text-to-speech model optimized for Turkish, using a conditional flow-matching Diffusion Transformer operating in a continuous latent space without phonemizers or discrete speech tokenizers. The model achieves 8.0% WER and 3.0% CER on the Freya-TR-Eval benchmark, outperforming larger open-source TTS systems, with a real-time factor of 0.11 on consumer GPUs and faster-than-realtime performance on laptop CPUs. Weights, training code, and the evaluation benchmark are released under Apache-2.0, making it relevant for edge deployment and low-resource language TTS research.